Instructions to use initiacms/RoMA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use initiacms/RoMA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="initiacms/RoMA")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("initiacms/RoMA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature3afba25 -
Upload 3 files
Verified signature5fcb466 -
Add pipeline tag, library name (#1)
Verified signature- Add pipeline tag, library name (ec66e440939c80bd82a2af2e19f7d90974b5f013) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>4b72682
-
Rename mamba-base-400w-400epoch.pth to mamba-base.pth
Verified signature934da30
-
Upload mamba-base-400w-400epoch.pth
Verified signature07264d4 -
initial commit
Verified signatureeb0201b